Total 6,917 Education / Training job vacancies

WE ARE HIRING PERSONAL TRAINERS IN PUNGGOL, SERANGOON, AMK & HOUGANG!

Athleaders has been ranked the No. 1 Personal Training company in Singapore by expat forums and magazines.

We are looking for dynamic personal trainers who are enthusiastic, self-motivated individuals with a strong passion for sports to join our growing team.

The ideal candidate should have previous experience in personal training or group fitness classes. However, we are also open to those who are willing to learn quickly, are hard workers and most importantly have an interest in ensuring our client's health goals are achieved.

This role is for you if you are:

• Results driven - Responsible enough to always put our clients first. Arming them with the required knowledge, motivating them and relentlessly working towards getting them to reach their goal is a MUST.
• A person who has great communication and people skills – you should be able to hold a conversation on a broad range of topics.

A person with a great work ethic, willingness to adapt and learn.

JOB DESCRIPTION

• Train clients (1:1 or 1: Many) in-person at their preferred locations (condo gym, living room). Virtual classes may occur too.
• Sales will NOT be a part of the job. Ensuring our clients are armed with the best advice, encouragement and knowledge to meet their individual health targets is your main goal.
• Plan individually tailored & customized programms for each client.
• Provide clear instructions and demonstrate the movement patterns of each exercise.
• Any other ad-hoc duties as assigned.

BENEFITS:

• Transportation reimbursement provided
• Highly competitive salary
• Performance based payouts
• No sales required
• Base salary (Full timers)
• CPF (Full timers)

REQUIREMENTS

• Proficient and fluent in English; other language proficiencies are a bonus.
• Communicate well - friendliness and openness is a must.
• Prior experience working in a health & fitness company or customer facing role is a bonus.
• Passion for sports.

We are looking for individuals passionate in Research and Youth studies.

• Up to $4,000 per month
• ASAP - 30 Sept 2026
• Kent Ridge MRT
• Mon - Fri, office hours

What to expect:

• Perform statistical data analysis using relevant analytical tools and software to support microbiome and epidemiological research projects.
• Conduct literature reviews to support study design, data interpretation, and the development of research outputs.
• Assist in the preparation and development of scientific manuscripts, reports, presentations, and the dissemination of study findings.
• Collaborate with research team members and external stakeholders to support project implementation and research deliverables.
• Provide administrative and operational support for research activities, including documentation, coordination, and other duties as assigned.

Who we are looking for:

• Possesses minimum a Bachelor's Degree in Biomedical Science or relevant disciplines.
• Knowledge of microbiome and statistical analysis (e.g. R and SPSS) is advantageous.
• Independent team player who works well in a team.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

The Genome Institute of Singapore (GIS) is Singapore"s flagship institute for the genomic sciences. The Agency for Science, Technology, and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world"s premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational, and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

We welcome applications at all levels, including candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions) and execptionally qualified established leaders in their fields (at the level of Associate/Full Professor) to develop their independent research programmes in the following domains:

• Develop novel high throughput technologies for unveiling new insights into the biology of DNA or RNA. Candidates with an established track record in sequencing methodology development, genomics, functional genomics (studied using saturation mutagenesis), and molecular engineering are highly welcome.
• Develop novel technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, and localization in health and disease systems are strongly encouraged to apply.
• AI to leverage state-of-the-art artificial intelligence to design and implement or use generative models targeting RNA, DNA, and cellular systems,
• Computational biology, to develop/use the latest machine learning strategies and computational analytics to analyze genomic and multimodal data to enable novel insights into biology and human health.

Principal investigators will be able to leverage GIS' strong sequencing facility, technology platforms, novel computational analytics, and outstanding biological systems to create scientific and societal impact.

Qualified candidates should have an MD, PhD, or equivalent degree in the biological, genomic, or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, and external funding. Past successes in intellectual property creation will be an advantage. You must be comfortable working in a dynamic research organization. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement programs at GIS and synergise with ongoing larger-scale efforts at A-STAR. In particular, we welcome applications from energetic and enthusiastic candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

We regret that only shortlisted candidates will be notified.

Build a rewarding career in recruitment and HR with us, a well-established recruitment firm with strong regional presence and a proven track record of success. This role offers structured training, guidance, and mentorship from experienced managers and industry professionals, making it suitable for candidates who are keen to develop a long-term career in recruitment.

Responsibilities:

• Manage the end-to-end recruitment process, from sourcing, screening, shortlisting, interview coordination to successful placement.
• Proactively source and engage suitable candidates through job portals, networking, referrals, database search, and direct outreach.
• Conduct resume screening, candidate interviews, and assessment to match the right talent to suitable job opportunities.
• Build and maintain strong relationships with candidates and provide professional career advice throughout the hiring process.
• Understand clients’ business needs, hiring requirements, and provide recruitment support by recommending suitable candidates.
• Identify new business opportunities, develop new client relationships, and maintain rapport with existing clients.
• Coordinate closely with both clients and candidates to ensure smooth interview arrangements, follow-ups, offer management, and onboarding process.

Requirements:

• Comprehensive training will be provided.
• Strong communication and interpersonal skills.
• Sales-driven, proactive, and comfortable speaking with people from different backgrounds.
• Able to work in a fast-paced environment and manage multiple hiring requirements at the same time.
• Positive attitude, willing to learn, and keen to build a career in recruitment and HR.

HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD formator please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safe guarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate websitewww.trustrecruit.com.sg.
Trust Recruit Pte Ltd      
EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

Weekly Sunday Sessions (Flexible Timeslots)

Speech Academy Asia – Novena Branch is located in central Singapore within a vibrant education district and is recognised as one of the award-winning centres in speech and presentation competitions. Our students consistently perform strongly across internal showcases and external platforms, reflecting the strength of our structured training approach.

For trainers, this offers the opportunity to be part of a reputable and results-driven training environment while operating within a well-supported system.

Why Join Novena

Award-Winning Training Environment
Be part of a centre with a proven track record in speech competitions and presentation excellence. You contribute to a culture that values quality coaching and measurable growth.

Focused Group Training Model
We adopt a small focus-group approach, allowing trainers to engage students meaningfully without the pressure of managing large class sizes. This creates a more manageable and high-quality teaching experience compared to centres that operate on high-volume classes.

Supportive Buddy System
New trainers are paired with an experienced buddy coach to ensure smooth onboarding, classroom guidance, and practical support. You are supported as you grow into the role.

Structured Curriculum Provided
Comprehensive lesson plans and materials are fully prepared. Trainers can focus on delivery, coaching presence, and student development rather than administrative preparation.

Freelance Flexibility
Weekly Saturday sessions with flexible timeslots, suitable for professionals balancing other commitments.

Who We Welcome

• Clear and confident English speakers from diverse professional backgrounds
• Individuals passionate about guiding children and teens in communication and confidence
• Those seeking to grow within a structured and reputable training platform

No prior teaching experience is required as training and support are provided.

Job Details

Location: Novena Branch, centrally located and MRT accessible
Schedule: Weekly Sunday , flexible timeslots

Join Speech Academy Asia – Novena Branch and become part of our training family, where excellence, structured support, and meaningful impact come together in a respected and award-winning environment.

Role:

English Language Teacher (Primary Level & Secondary)

• Working Days: 5/6 working days (include Saturday & Sunday)
• Working Timing: 9am to 8pm 
• Basic Salary: $3500 to $5000 (Depends work experience)
• Address: Tanjong Pagar

Requirement 

• Bachelor’s degree and at least 3 years of teaching experience.

• Willingness to work during evenings, weekends, public holidays and peak periods

Responsibilities:

• Plan and deliver English language composition writing and English language lessons in accordance with the Company's guidelines and framework to achieve desired learning outcomes.
• Adapt teaching methodologies to meet individual student needs.
• Engage and motivate students through interactive and dynamic lessons.
• Demonstrate initiative and proactive behavior in the classroom.
• Ensure punctuality and strong time management skills.
• Communicate effectively and demonstrate problem-solving skills.
• Develop and customize lesson plans to align with students’ requirements.
• Provide written feedback on student progress.
• Create and improve curriculum materials as needed.
• Identify and address learning obstacles faced by students.
• Supervise students during peak hours and maintain classroom discipline.
• Perform other ad hoc tasks as assigned.

✅ Wee Yuan Huan

✅ Reg No: R21100383

✅ The Supreme HR Advisory Pte Ltd

✅ EA No: 14C7279

Fun and meaningful role teaching kids about coding!

No experience? No problem. If you enjoy tech and working with children, this is for you.

What You’ll Do

• Deliver fun and interactive coding and robotics lessons.
• Teach basic programming using visual tools (e.g. Scratch) and simple AI concepts.
• Guide students in hands-on activities using robotics kits and devices.
• Create a positive and engaging classroom environment.
• Handle simple admin tasks. (attendance, feedback)

What We’re Looking For

• Interest in coding, technology, or education.
• Enjoy working with children and engaging a class.
• Responsible and able to manage a classroom independently.
• Open to learning new tech skills. (training provided)

Why Join Us

• Paid training provided – no experience required
• Meaningful role shaping young learners in tech

Requirements:

• Singaporean Only.
• Minimum Diploma/Degree in any field or its equivalent.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Location : Pandan Valley (West)

Working days : Monday to Friday

Working hours : 8 AM - 1 PM

Salary : $4000-$4500

Role Overview:

We are seeking a Japanese Language Teacher to join our early childhood education team. The ideal candidate will create a learning environment that introduces young children to the Japanese language and culture through age-appropriate activities.

Key Responsibilities:

• Design and deliver Japanese language lessons tailored to young learners (preschool/kindergarten age).
• Use songs, stories, games, and visual aids to aid learning .
• Monitor and record children’s attendance and learning progress.
• Collaborate with other educators and provide feedback to parents when necessary.
• Refer children for additional support if learning challenges are observed.

Requirements:

• 3-5 years experience in teaching Japanese language to young children, preferably in a preschool or early childhood setting.
• Ability to commit to the stated working hours on a long-term basis

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Offshore-Centrifuge-Modelling%29/33193-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible for leading and managing research activities related to the project titled “Offshore Centrifuge modelling.” 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Has proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools.
•    Ability to work both independently and collaboratively within a multidisciplinary team.
•    Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Quality-Assurance%29/33198-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (Quality Assurance (QA) Executive) in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

This role provides QA support across document control, batch record management, training records, supplier documentation, audits, and quality system activities. Responsibilities include maintaining quality registers, tracking due dates and CAPA actions, supporting Bizzmine eQMS document control, checking Batch Manufacturing Records for completeness, and assisting with QA reporting and trending. Also supports GMP training, supplier qualification records, inspection readiness, and maintenance of key controlled documents. In addition, the role contributes to QA improvement work and is being trained to support investigational radiopharmaceutical release as an Authorised Person under supervision.

Main duties and responsibilities

The QA Executive will be able to:

1. Provide OMS Support – maintain and update registers
2. Assist in document management & eQMS (Bizzmine)
3. Support Batch Record (BMR) & QA Operations
4. Assist, arrange & support training and filing of training records, especially the annual GMP training
5. Assist & support in maintaining supplier and material documentation
6. Assist & support during audit & inspection period
7. Assist in QA related improvement projects and digital quality system activities
8. To take up the role of Authorised Person for the release of investigational radiopharmaceuticals in compliance with PIC/S GMP (Under supervision)

Qualifications

The applicant should:

1. Have a minimum of bachelor’s degree (Honours) or higher in Pharmaceutical Science, Chemistry, Life Sciences or related discipline;
2. Previous experience working in a PET radiochemistry facility is highly desirable. 
3. Typically, 1-3 years of relevant experience in QA/QC/QMS in a regulated environment (GMP/PIC/S GMP experience is strongly preferred). 
4. Excellent understanding of radiochemical and radiopharmaceutical processes, including material flows, quality controls, and critical parameters in GMP environments. 
5. Strong organizational and project planning skills, with the ability to manage multiple tasks and priorities in a regulated environment. 
6. Working knowledge of GMP principles and their application to equipment qualification, maintenance, and facility operations. 
7. Understanding of radiation safety principles and engineered controls for radioactive materials. 
8. Excellent communication and teamwork skills, with a collaborative approach to problem-solving across scientific, quality, and engineering disciplines. 
9. Working knowledge of PIC/S GMP and good documentation practices (GDP). 
10. Strong coordination skills; able to follow up across teams and manage multiple deadlines. 
11. Comfortable working with digital systems (experience with eQMS is advantageous). 
12. Clear written communication, with strong attention to detail and integrity in a GMP environment 
13. Need to be adaptable and flexible to perform required tasks beyond the job description 
14. Willing to accept exposure of low radiation levels (radiopharmaceutical manufacturing) & enter clean room/rotational function.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Emmalyn Chan Mei Mei at emma.chan@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.